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Robust Rank-based And Nonparametric Methods: Michigan, Usa, April 2015: Selected, Revised, And Extended Contributions
13 Angebote vergleichen
Bester Preis: € 9,16 (vom 05.09.2019)Robust Rank-Based and Nonparametric Methods (2015)
ISBN: 9783319818092 bzw. 3319818090, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015. Soft cover.
Robust Rank-Based and Nonparametric Methods (2015)
ISBN: 9783319390659 bzw. 3319390651, in Deutsch, Springer Shop, neu, E-Book, elektronischer Download.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015. eBook.
Robust Rank-Based and Nonparametric Methods - Michigan, USA, April 2015: Selected, Revised, and Extended Contributions (2015)
ISBN: 9783319390659 bzw. 3319390651, in Deutsch, Springer International Publishing, neu, E-Book, elektronischer Download.
Robust Rank-Based and Nonparametric Methods: The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015. Englisch, Ebook.
Robust Rank-Based and Nonparametric Methods (2016)
ISBN: 9783319390659 bzw. 3319390651, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.
Robust Rank-based And Nonparametric Methods: Michigan, Usa, April 2015: Selected, Revised, And Extended Contributions (2015)
ISBN: 9783319818092 bzw. 3319818090, vermutlich in Englisch, neu.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015. .
Robust Rank-Based and Nonparametric Methods (2016)
ISBN: 9783319390659 bzw. 3319390651, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop ef.
Robust Rank-Based and Nonparametric Methods (2016)
ISBN: 3319818090 bzw. 9783319818092, in Deutsch, Taschenbuch, neu, Nachdruck.
Robust Rank-Based and Nonparametric Methods (2016)
ISBN: 9783319390659 bzw. 3319390651, in Deutsch, neu, E-Book, elektronischer Download.
Robust Rank-Based and Nonparametric Methods (2018)
ISBN: 9783319818092 bzw. 3319818090, vermutlich in Englisch, gebundenes Buch, neu, Nachdruck.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Robust Rank-Based and Nonparametric Methods
ISBN: 9783319818092 bzw. 3319818090, in Deutsch, Springer Nature, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen